Typically, we start with an assessment of our client: the data model, the technology and digital approach going forward. It often includes analysing the efforts of their existing data science structures.
We kick-off involving key employees in the process to start shifting the culture through approaches like Design Thinking.
This is where our innovation on A.I. occurs. Often, leveraging postgrad students around the world - particularly, from University College London.
Nonetheless, Avatar, ©Augmented Machines, jA.I.me, Fake-News market impact (including crypto), advanced market simulation... fall into this Vertical, inherinting architecture from our Algorithmic Trading Platform.
Given the fact that the UK DTC in Financial Computing & Analytics cannot be funded any longer by the UK Government, we are finally opening up to clients our internal School for Financial Computing - initially designed for internal staff-only.
Not only do we reach the retail side of the industry but also Corporate & Investment Banking along with funds:
- Branches optimal downsize and geolocalization
- Corporate finance opportunities (ECM, DCM, M&A)
- Self-audited processes
- Fraud and money laundring detection
- Hedge optimization
- Early warning systems and market indicators
- Trading/Market-Making/Portfolio Mgt algorithmic strats
- Synthetic liquidity
- Synthetic data
- On-line back and stress testing
It is obvious that this industry will grow exponentially along the next decades. And the usage of Algorithmic Trading technology onto its evolution seems promising by all means. We are simply glad te be trusted to help innovate blue chips with our orthogonal ideas.
We started as IEEE Computer Society Reviewers for Blockchain research papers. We are now involved in the optimal usage of Blockchain's building blocks cutting-off the mediatic BS.
- transfer prices
- a new blockchain paradigm that allows for a stable crypto currency towards financial inclusion
All of it, bearing in mind that Blockchain's most subtle feature is its capacity to unlock innovation.
This industry is becoming faster, more dynamic, more price-sensitive, more volume-based... i.e. more like High Frequency Trading. Examples span across:
- recommendation systems
- next best-action
- customer knowledge
- churn analysis
- AdWords algorithmic strategies (adaptive automated bidding)
All of it, leveraging GDPR and PSD2, and protecting your clients - not only their data.